Lead the ML infrastructure layer with focus on optimizing GPU inference performance for real-time onboard and high-throughput offboard autonomous driving applications. Requires deep experience with PyTorch, C++, GPUs, distributed systems, and performance optimization.
Salary not listed
On-site5+ YOEML Engineering
About the role
What you'll do
Take ownership of the GPU inference framework with a focus on performance for both onboard (near real-time) and offboard (high throughput, deterministic) applications.
Assume responsibility for broader ML infrastructure across ML pipelines.
Collaborate closely with the applied ML team on neural model architectures.
What you'll need
Experience with PyTorch.
Strong understanding of GPU architecture and operation.
Experience diagnosing and resolving performance issues.
Strong record building infrastructure, including distributed systems.
5+ years of experience with C++.
Programming experience in multi-threaded environments (multiple processes, threads, timers, interrupts).
Senior Machine Learning Engineer building and refining reinforcement learning models for Airbnb's host pricing recommendations. Requires 5+ years ML engineering experience with strong Python skills; hospitality or pricing background is a plus.
196k – 227k/yrRemote5+ YOEML Engineering
Senior Software Engineer, Autonomy Capabilities - Space
Shield AIBoston, MA +3
Build and deploy autonomy software for satellites and missile-defense systems, spanning optimization, tasking, scheduling, track fusion, and motion planning. The role requires strong C++ and Python skills, robotics or unmanned-systems experience, simulation expertise, and the ability to obtain a SECRET clearance.
160k – 240k/yrOn-site5+ YOEML Engineering
Senior Manager, Machine Learning Engineering-Applied Research
PinterestUnited States
Leads a team of machine learning researchers and engineers developing web-scale recommendation systems, guiding strategy, research-to-production execution, and cross-functional delivery. Requires 7+ years of post-graduate academic and industry experience, 3+ years of people management, advanced education, and strong ML publication credentials.
228k – 469k/yrRemote8+ YOEML Engineering
Senior AI Engineer, Agentic Data Enrichment
BaselayerSan Francisco, CA
Build and own production LLM-driven agents that enrich business identities using web discovery, evidence extraction, classification, and risk signals. The role requires strong asynchronous Python, browser automation, multi-provider LLM experience, evaluation methodology, and production agent ownership.
230k – 340k/yrHybrid5+ YOEML Engineering
Lead Software Platform Engineer, MLOps
TetraScienceUnited States
Leads the architecture and operation of a multi-tenant AI/ML platform supporting production models, LLMs, and agents in regulated scientific environments. Requires 10+ years in distributed cloud-native systems, strong TypeScript and Python skills, production LLM/RAG experience, and technical leadership.